[16] | Macular Microvascular Changes and Their Correlation With Peripheral Nonperfusion in Branch Retinal Vein Occlusion (Ryu, G, Park, D, Lim, J, van Hemert, J and Sagong, M), In Am J Ophthalmol, volume 225, 2021. |
[15] | Hemorrhage and/or Microaneurysm Severity and Count in Ultrawide Field Images and Early Treatment Diabetic Retinopathy Study Photography (Silva, PS, El-Rami, H, Barham, R, Gupta, A, Fleming, A, van Hemert, J, Cavallerano, JD, Sun, JK and Aiello, LP), In Ophthalmology, volume 124, 2017. |
[14] | Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index (Tan, CS, Chew, MC, van Hemert, J, Singer, MA, Bell, D and Sadda, SR), In Br J Ophthalmol, volume 100, 2016. |
[13] | Assessment of Accuracy and Precision of Quantification of Ultra-Widefield Images (Sagong, M, van Hemert, J, Olmos de Koo, LC, Barnett, C and Sadda, SR), In Ophthalmology, volume 122, 2015. |
[12] | Diabetic Retinopathy Severity and Peripheral Lesions Are Associated with Nonperfusion on Ultrawide Field Angiography (Silva, PS, Dela Cruz, AJ, Ledesma, MG, van Hemert, J, Radwan, A, Cavallerano, JD, Aiello, LM, Sun, JK and Aiello, LP), In Ophthalmology, volume 122, 2015. |
[11] | Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography. (Croft, DE, van Hemert, J, Wykoff, CC, Clifton, D, Verhoek, M, Fleming, A and Brown, DM), In Ophthalmic Surg Lasers Imaging Retina, volume 45, 2014. |
[10] | Quantification of Ultra-Widefield Retinal Images (DE Croft, CC Wykoff, DM Brown, van Hemert, J and M Verhoek), In Retina Today, 2014. |
[9] | Superpixel Based Retinal Area Detection in SLO Images (MS Haleem, L Han, van Hemert, J, B Li and A Fleming), In Computer Vision and Graphics (LJ Chmielewski, R Kozera, B-S Shin, KW Wojciechowski, eds.), Springer, volume 8671, 2014. |
[8] | Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E Pellegrini, G Robertson, E Trucco, TJ MacGillivray, C Lupascu, van Hemert, J, MC Williams, DE Newby, van Beek, EJR and G Houston), In Biomed. Opt. Express, OSA, volume 5, 2014. |
[7] | IMAGING OF THE EYE (van Hemert, J and Verhoek, M), Patent Pending, 2014, US 20140327877. |
[6] | Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases (MS Haleem, L Han, B Li, A Nisbet, J van Hemert and M Verhoek), In Comp Graphics Imag (L Linsen, M Kampel, eds.), ACTA Press, volume 798, 2013. |
[5] | Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review (Haleem, MS, Han, L, van Hemert, J and Li, B), In Comput Med Imaging Graph, Elsevier Science, volume 37, 2013. |
[4] | Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams (Zutis, K, Trucco, E, Hubschman, JP, Reed, D, Shah, S and van Hemert, J), In Conf Proc IEEE Eng Med Biol Soc, 2013. |
[3] | An Open Source Toolkit for Medical Imaging De-Identification (RodrĂguez González, D, T Carpenter, van Hemert, J and J Wardlaw), In European Radiology, volume 20, 2010. |
[2] | Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns (van Hemert, J and RA Baldock), In BioInformatics Research and Development (M Elloumi, \emphet al., eds.), Springer, volume 2, 2008. |
[1] | Mining spatial gene expression data for association rules (van Hemert, J and RA Baldock), In BioInformatics Research and Development (S Hochreiter, R Wagner, eds.), Springer, volume 4414, 2007. |